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Big Data Analytics in Motorola on the Google Cloud Platform

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Big Data Analytics in Motorola on the Google Cloud Platform

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Motorola Data Systems
Motorola Data Systems Use Case ● Many data sources supply chain, factory shipment, test artifacts, JIRA, activation, provisioning, device telemetry, upgrade, factory repair, warranty claim, marketing data... ● One repository ● Load first, ask questions later ● 360 degree view
Motorola Data Systems : Hadoop Stack On premise Hadoop Clusters Visualization HDFS MapReduce Enterprise Data Warehouse Processed Data Processed Data
Motorola Data Systems : Google Cloud Platform Visualization Enterprise Data Warehouse ? Processed Data (BigQuery)
Motorola Data Systems : Google Cloud Platform Process perdevice data (App Engine) Enterprise Data Warehouse Raw data (Cloud Storage) Visualization Processed Data (BigQuery) Processing (Hadoop on GCE)
Journey To The Cloud ● BigQuery is the killer app ● Fast + Scalable, Easy to use + Feature rich ● Drive adoption rate ● App Engine for "map only" pattern ● Micro-batch data ingestion ● Dynamic scaling
THANK YOU

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Big Data Analytics in Motorola on the Google Cloud Platform

  • 2. Motorola Data Systems Use Case ● Many data sources supply chain, factory shipment, test artifacts, JIRA, activation, provisioning, device telemetry, upgrade, factory repair, warranty claim, marketing data... ● One repository ● Load first, ask questions later ● 360 degree view
  • 3. Motorola Data Systems : Hadoop Stack On premise Hadoop Clusters Visualization HDFS MapReduce Enterprise Data Warehouse Processed Data Processed Data
  • 4. Motorola Data Systems : Google Cloud Platform Visualization Enterprise Data Warehouse ? Processed Data (BigQuery)
  • 5. Motorola Data Systems : Google Cloud Platform Process perdevice data (App Engine) Enterprise Data Warehouse Raw data (Cloud Storage) Visualization Processed Data (BigQuery) Processing (Hadoop on GCE)
  • 6. Journey To The Cloud ● BigQuery is the killer app ● Fast + Scalable, Easy to use + Feature rich ● Drive adoption rate ● App Engine for "map only" pattern ● Micro-batch data ingestion ● Dynamic scaling